--------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\mitch\Dropbox\BLW\POP\Searching for a Bright Line\Replication Materials\Logs/auxil
> iary tests.log
  log type:  text
 opened on:   5 Dec 2018, 10:53:18

. 
. numlabel, add

. 
. tab wave

       wave |      Freq.     Percent        Cum.
------------+-----------------------------------
          3 |      3,000       33.33       33.33
          4 |      2,000       22.22       55.56
          5 |      2,000       22.22       77.78
          6 |      2,000       22.22      100.00
------------+-----------------------------------
      Total |      9,000      100.00

. 
. recode perf_misconduct-perf_investigations (1=0) (2=0) (3=1) (4=1) (5=.)
(perf_misconduct: 4063 changes made)
(perf_private_gain: 4065 changes made)
(perf_monitor_opponents: 4007 changes made)
(perf_equal_rights: 4028 changes made)
(perf_journalists: 4063 changes made)
(perf_private_violence: 4070 changes made)
(perf_free_speech: 4041 changes made)
(perf_patriotism: 4003 changes made)
(perf_foreign: 4019 changes made)
(perf_ban_ideology: 4054 changes made)
(perf_voting_rights: 4032 changes made)
(perf_votes_impact: 3980 changes made)
(perf_election_fraud: 4092 changes made)
(perf_expand_executive: 4046 changes made)
(perf_legislature_check: 4086 changes made)
(perf_judiciary_check: 4063 changes made)
(perf_judicial_ind: 3976 changes made)
(perf_participation: 3929 changes made)
(perf_funds_transparent: 3960 changes made)
(perf_contributions: 4042 changes made)
(perf_opinions: 4023 changes made)
(perf_districts: 3997 changes made)
(perf_common_und: 4001 changes made)
(perf_compromise: 3959 changes made)
(perf_candidates_disclose: 4025 changes made)
(perf_protest: 4074 changes made)
(perf_investigations: 4052 changes made)

. label value perf_misconduct-perf_investigations statementlabel

. 
. recode imp_misconduct-imp_investigations (0=0) (1=0) (2=1) (3=1)
(imp_misconduct: 956 changes made)
(imp_private_gain: 917 changes made)
(imp_monitor_opponents: 925 changes made)
(imp_equal_rights: 952 changes made)
(imp_journalists: 896 changes made)
(imp_private_violence: 849 changes made)
(imp_free_speech: 934 changes made)
(imp_patriotism: 832 changes made)
(imp_foreign_influence: 919 changes made)
(imp_ban_ideology: 945 changes made)
(imp_voting_rights: 974 changes made)
(imp_votes_impact: 928 changes made)
(imp_election_fraud: 974 changes made)
(imp_expand_executive: 938 changes made)
(imp_legislature_check: 928 changes made)
(imp_judiciary_check: 930 changes made)
(imp_judicial_ind: 920 changes made)
(imp_participation: 910 changes made)
(imp_funds_transparent: 898 changes made)
(imp_contributions: 835 changes made)
(imp_opinions: 901 changes made)
(imp_districts: 891 changes made)
(imp_common_und: 921 changes made)
(imp_compromise: 841 changes made)
(imp_candidates_disclose: 932 changes made)
(imp_protest: 943 changes made)
(imp_investigations: 950 changes made)

. label value imp_misconduct-imp_investigations statementlabel

. 
. gen trump = approve_trmp
(47 missing values generated)

. recode trump (2 = 1) (3 = 0) (4 = 0) (8 = .) (9 = .)
(trump: 7115 changes made)

. label define trumpLabel 0 "Not approve Trump" 1 "Approve Trump"

. label value trump trumpLabel

. 
. tab wave 

       wave |      Freq.     Percent        Cum.
------------+-----------------------------------
          3 |      3,000       33.33       33.33
          4 |      2,000       22.22       55.56
          5 |      2,000       22.22       77.78
          6 |      2,000       22.22      100.00
------------+-----------------------------------
      Total |      9,000      100.00

. recode wave (1=0) (2=0) (3=1) (4=0) (5=0) (6=0), gen(wave3)
(9000 differences between wave and wave3)

. recode wave (1=0) (2=0) (3=0) (4=1) (5=0) (6=0), gen(wave4)
(9000 differences between wave and wave4)

. recode wave (1=0) (2=0) (3=0) (4=0) (5=1) (6=0), gen(wave5)
(9000 differences between wave and wave5)

. recode wave (1=0) (2=0) (3=0) (4=0) (5=0) (6=1), gen(wave6)
(9000 differences between wave and wave6)

. gen wave4_trump=wave4*trump
(47 missing values generated)

. 
. 
. * COMPARE IMPORTANCE BY TRUMP APPROVAL
. svyset [pweight=weight]

      pweight: weight
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: regress imp_misconduct trump if(wave==3)
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,004
Number of PSUs     =     1,004                  Population size   = 1,042.2328
                                                Design df         =      1,003
                                                F(   1,   1003)   =       1.67
                                                Prob > F          =     0.1959
                                                R-squared         =     0.0042

------------------------------------------------------------------------------
             |             Linearized
imp_miscon~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |  -.0480021   .0370898    -1.29   0.196    -.1207846    .0247805
       _cons |   .8587394   .0197648    43.45   0.000     .8199543    .8975245
------------------------------------------------------------------------------

. svy: regress imp_private_gain trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        964
Number of PSUs     =       964                  Population size   = 932.963845
                                                Design df         =        963
                                                F(   1,    963)   =       1.39
                                                Prob > F          =     0.2382
                                                R-squared         =     0.0031

------------------------------------------------------------------------------
             |             Linearized
imp_privat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |  -.0437124   .0370376    -1.18   0.238    -.1163961    .0289714
       _cons |   .8296117   .0223086    37.19   0.000     .7858326    .8733907
------------------------------------------------------------------------------

. svy: regress imp_monitor_opponents trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        993
Number of PSUs     =       993                  Population size   = 980.688299
                                                Design df         =        992
                                                F(   1,    992)   =       0.42
                                                Prob > F          =     0.5155
                                                R-squared         =     0.0008

------------------------------------------------------------------------------
             |             Linearized
imp_monito~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |   .0233182    .035847     0.65   0.516    -.0470263    .0936628
       _cons |   .7888696   .0235223    33.54   0.000     .7427103    .8350288
------------------------------------------------------------------------------

. svy: regress imp_equal_rights trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        991
Number of PSUs     =       991                  Population size   = 1,030.2172
                                                Design df         =        990
                                                F(   1,    990)   =       1.72
                                                Prob > F          =     0.1898
                                                R-squared         =     0.0046

------------------------------------------------------------------------------
             |             Linearized
imp_equal_~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |  -.0485775   .0370225    -1.31   0.190     -.121229    .0240741
       _cons |   .8743443   .0189817    46.06   0.000     .8370954    .9115932
------------------------------------------------------------------------------

. svy: regress imp_journalists trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        974
Number of PSUs     =       974                  Population size   = 1,018.0147
                                                Design df         =        973
                                                F(   1,    973)   =      13.51
                                                Prob > F          =     0.0003
                                                R-squared         =     0.0297

------------------------------------------------------------------------------
             |             Linearized
imp_journa~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |   -.153724   .0418243    -3.68   0.000    -.2358001   -.0716479
       _cons |   .7992426   .0256919    31.11   0.000     .7488246    .8496605
------------------------------------------------------------------------------

. svy: regress imp_private_violence trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        967
Number of PSUs     =       967                  Population size   =  977.09394
                                                Design df         =        966
                                                F(   1,    966)   =       1.54
                                                Prob > F          =     0.2156
                                                R-squared         =     0.0034

------------------------------------------------------------------------------
             |             Linearized
imp_privat~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |  -.0549872   .0443794    -1.24   0.216    -.1420784    .0321041
       _cons |   .7072563   .0276321    25.60   0.000     .6530304    .7614822
------------------------------------------------------------------------------

. svy: regress imp_free_speech trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        981
Number of PSUs     =       981                  Population size   = 1,003.7836
                                                Design df         =        980
                                                F(   1,    980)   =       1.61
                                                Prob > F          =     0.2045
                                                R-squared         =     0.0033

------------------------------------------------------------------------------
             |             Linearized
imp_free_s~h |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |   -.047915   .0377384    -1.27   0.205    -.1219722    .0261423
       _cons |   .8065691   .0222952    36.18   0.000     .7628172    .8503209
------------------------------------------------------------------------------

. svy: regress imp_patriotism trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        960
Number of PSUs     =       960                  Population size   = 928.787485
                                                Design df         =        959
                                                F(   1,    959)   =       3.92
                                                Prob > F          =     0.0479
                                                R-squared         =     0.0073

------------------------------------------------------------------------------
             |             Linearized
imp_patrio~m |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |  -.0863284   .0435824    -1.98   0.048    -.1718564   -.0008005
       _cons |   .5699028   .0274099    20.79   0.000     .5161126    .6236931
------------------------------------------------------------------------------

. svy: regress imp_foreign_influence trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        972
Number of PSUs     =       972                  Population size   =  935.75612
                                                Design df         =        971
                                                F(   1,    971)   =      20.29
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0452

------------------------------------------------------------------------------
             |             Linearized
imp_foreig~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |   -.159709    .035452    -4.50   0.000    -.2292804   -.0901376
       _cons |   .9029508   .0163387    55.26   0.000     .8708875    .9350141
------------------------------------------------------------------------------

. svy: regress imp_ban_ideology trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,005
Number of PSUs     =     1,005                  Population size   = 1,025.9245
                                                Design df         =      1,004
                                                F(   1,   1004)   =       0.97
                                                Prob > F          =     0.3238
                                                R-squared         =     0.0020

------------------------------------------------------------------------------
             |             Linearized
imp_ban_id~y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |  -.0365981   .0370778    -0.99   0.324    -.1093569    .0361607
       _cons |   .8062486   .0231983    34.75   0.000     .7607258    .8517713
------------------------------------------------------------------------------

. svy: regress imp_voting_rights trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        996
Number of PSUs     =       996                  Population size   = 983.361394
                                                Design df         =        995
                                                F(   1,    995)   =       4.13
                                                Prob > F          =     0.0423
                                                R-squared         =     0.0113

------------------------------------------------------------------------------
             |             Linearized
imp_voting~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |  -.0688668    .033868    -2.03   0.042    -.1353277   -.0024059
       _cons |   .9139392   .0195867    46.66   0.000     .8755032    .9523753
------------------------------------------------------------------------------

. svy: regress imp_votes_impact trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        969
Number of PSUs     =       969                  Population size   = 926.176304
                                                Design df         =        968
                                                F(   1,    968)   =       2.93
                                                Prob > F          =     0.0871
                                                R-squared         =     0.0074

------------------------------------------------------------------------------
             |             Linearized
imp_votes_~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |  -.0666605   .0389229    -1.71   0.087    -.1430434    .0097225
       _cons |   .8493762   .0236845    35.86   0.000     .8028974     .895855
------------------------------------------------------------------------------

. svy: regress imp_election_fraud trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        990
Number of PSUs     =       990                  Population size   = 959.055327
                                                Design df         =        989
                                                F(   1,    989)   =       4.36
                                                Prob > F          =     0.0369
                                                R-squared         =     0.0104

------------------------------------------------------------------------------
             |             Linearized
imp_electi~d |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |  -.0607305    .029068    -2.09   0.037    -.1177725   -.0036884
       _cons |   .9304832   .0140052    66.44   0.000     .9029999    .9579665
------------------------------------------------------------------------------

. svy: regress imp_expand_executive trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        980
Number of PSUs     =       980                  Population size   = 964.040863
                                                Design df         =        979
                                                F(   1,    979)   =       0.67
                                                Prob > F          =     0.4148
                                                R-squared         =     0.0016

------------------------------------------------------------------------------
             |             Linearized
imp_expand~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |  -.0304409   .0373115    -0.82   0.415    -.1036606    .0427788
       _cons |   .8395262   .0229859    36.52   0.000      .794419    .8846335
------------------------------------------------------------------------------

. svy: regress imp_legislature_check trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        980
Number of PSUs     =       980                  Population size   = 927.176303
                                                Design df         =        979
                                                F(   1,    979)   =      11.95
                                                Prob > F          =     0.0006
                                                R-squared         =     0.0243

------------------------------------------------------------------------------
             |             Linearized
imp_legisl~k |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |   -.129259   .0373935    -3.46   0.001    -.2026396   -.0558784
       _cons |   .8415608    .021448    39.24   0.000     .7994713    .8836502
------------------------------------------------------------------------------

. svy: regress imp_judiciary_check trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        978
Number of PSUs     =       978                  Population size   = 974.528428
                                                Design df         =        977
                                                F(   1,    977)   =       8.38
                                                Prob > F          =     0.0039
                                                R-squared         =     0.0188

------------------------------------------------------------------------------
             |             Linearized
imp_judici~k |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |  -.1161511   .0401192    -2.90   0.004    -.1948807   -.0374214
       _cons |   .8229527   .0233812    35.20   0.000     .7770696    .8688358
------------------------------------------------------------------------------

. svy: regress imp_judicial_ind trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        950
Number of PSUs     =       950                  Population size   = 944.210405
                                                Design df         =        949
                                                F(   1,    949)   =       6.35
                                                Prob > F          =     0.0119
                                                R-squared         =     0.0162

------------------------------------------------------------------------------
             |             Linearized
imp_judici~d |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |  -.0994006    .039437    -2.52   0.012    -.1767944   -.0220069
       _cons |   .8599731   .0216137    39.79   0.000      .817557    .9023892
------------------------------------------------------------------------------

. svy: regress imp_participation trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        948
Number of PSUs     =       948                  Population size   = 905.609398
                                                Design df         =        947
                                                F(   1,    947)   =       0.58
                                                Prob > F          =     0.4446
                                                R-squared         =     0.0013

------------------------------------------------------------------------------
             |             Linearized
imp_partic~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |  -.0316423   .0413778    -0.76   0.445    -.1128451    .0495605
       _cons |   .7521993   .0270172    27.84   0.000     .6991787    .8052198
------------------------------------------------------------------------------

. svy: regress imp_funds_transparent trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        951
Number of PSUs     =       951                  Population size   = 914.583274
                                                Design df         =        950
                                                F(   1,    950)   =       2.93
                                                Prob > F          =     0.0871
                                                R-squared         =     0.0060

------------------------------------------------------------------------------
             |             Linearized
imp_funds_~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |  -.0697014   .0407034    -1.71   0.087    -.1495803    .0101774
       _cons |    .752951   .0256897    29.31   0.000     .7025359     .803366
------------------------------------------------------------------------------

. svy: regress imp_contributions trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        941
Number of PSUs     =       941                  Population size   = 943.340226
                                                Design df         =        940
                                                F(   1,    940)   =       3.86
                                                Prob > F          =     0.0497
                                                R-squared         =     0.0087

------------------------------------------------------------------------------
             |             Linearized
imp_contri~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |  -.0856437   .0435788    -1.97   0.050    -.1711667   -.0001207
       _cons |    .742946   .0270016    27.51   0.000     .6899555    .7959365
------------------------------------------------------------------------------

. svy: regress imp_opinions trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        922
Number of PSUs     =       922                  Population size   = 910.324448
                                                Design df         =        921
                                                F(   1,    921)   =       0.48
                                                Prob > F          =     0.4868
                                                R-squared         =     0.0013

------------------------------------------------------------------------------
             |             Linearized
imp_opinions |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |  -.0280703   .0403529    -0.70   0.487    -.1072646     .051124
       _cons |   .8356221   .0236766    35.29   0.000     .7891557    .8820885
------------------------------------------------------------------------------

. svy: regress imp_districts trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        978
Number of PSUs     =       978                  Population size   = 993.416425
                                                Design df         =        977
                                                F(   1,    977)   =       9.41
                                                Prob > F          =     0.0022
                                                R-squared         =     0.0207

------------------------------------------------------------------------------
             |             Linearized
imp_distri~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |  -.1277595   .0416393    -3.07   0.002    -.2094723   -.0460467
       _cons |   .7910466   .0246787    32.05   0.000     .7426172    .8394761
------------------------------------------------------------------------------

. svy: regress imp_common_und trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        966
Number of PSUs     =       966                  Population size   = 987.583335
                                                Design df         =        965
                                                F(   1,    965)   =       3.68
                                                Prob > F          =     0.0555
                                                R-squared         =     0.0080

------------------------------------------------------------------------------
             |             Linearized
imp_common~d |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |  -.0778061   .0405792    -1.92   0.055    -.1574397    .0018275
       _cons |   .7865882    .022689    34.67   0.000     .7420627    .8311137
------------------------------------------------------------------------------

. svy: regress imp_compromise trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        931
Number of PSUs     =       931                  Population size   = 938.022288
                                                Design df         =        930
                                                F(   1,    930)   =       1.54
                                                Prob > F          =     0.2145
                                                R-squared         =     0.0033

------------------------------------------------------------------------------
             |             Linearized
imp_compro~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |  -.0564866   .0454799    -1.24   0.215    -.1457416    .0327685
       _cons |    .613301   .0286871    21.38   0.000     .5570021       .6696
------------------------------------------------------------------------------

. svy: regress imp_candidates_disclose trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        967
Number of PSUs     =       967                  Population size   = 929.503815
                                                Design df         =        966
                                                F(   1,    966)   =       6.48
                                                Prob > F          =     0.0110
                                                R-squared         =     0.0145

------------------------------------------------------------------------------
             |             Linearized
imp_candid~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |  -.0889548    .034937    -2.55   0.011    -.1575159   -.0203937
       _cons |   .8803059   .0168116    52.36   0.000     .8473145    .9132973
------------------------------------------------------------------------------

. svy: regress imp_protest trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        987
Number of PSUs     =       987                  Population size   = 942.046042
                                                Design df         =        986
                                                F(   1,    986)   =       4.35
                                                Prob > F          =     0.0373
                                                R-squared         =     0.0095

------------------------------------------------------------------------------
             |             Linearized
 imp_protest |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |  -.0758547    .036382    -2.08   0.037    -.1472498   -.0044596
       _cons |   .8495825   .0214071    39.69   0.000     .8075737    .8915913
------------------------------------------------------------------------------

. svy: regress imp_investigations trump if(wave==3) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        980
Number of PSUs     =       980                  Population size   = 934.362499
                                                Design df         =        979
                                                F(   1,    979)   =       1.34
                                                Prob > F          =     0.2469
                                                R-squared         =     0.0035

------------------------------------------------------------------------------
             |             Linearized
imp_invest~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       trump |  -.0441231   .0380816    -1.16   0.247     -.118854    .0306077
       _cons |   .8563232   .0244706    34.99   0.000     .8083023     .904344
------------------------------------------------------------------------------

. 
. 
. 
. * COMPARE WAVE 3 --> WAVE 4 CHANGES BY TRUMP APPROVAL
. svyset [pweight=weight]

      pweight: weight
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: regress perf_misconduct            wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,788
Number of PSUs     =     1,788                  Population size   =  1,780.205
                                                Design df         =      1,787
                                                F(   3,   1785)   =       4.53
                                                Prob > F          =     0.0036
                                                R-squared         =     0.0150

------------------------------------------------------------------------------
             |             Linearized
perf_misco~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |   .0353428   .0623687     0.57   0.571    -.0869805     .157666
       wave4 |    -.09034   .0385733    -2.34   0.019    -.1659935   -.0146865
       trump |   .0622194   .0453148     1.37   0.170    -.0266561    .1510949
       _cons |   .3068206    .028177    10.89   0.000     .2515573    .3620838
------------------------------------------------------------------------------

. svy: regress perf_private_gain          wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,773
Number of PSUs     =     1,773                  Population size   = 1,717.7023
                                                Design df         =      1,772
                                                F(   3,   1770)   =       6.59
                                                Prob > F          =     0.0002
                                                R-squared         =     0.0234

------------------------------------------------------------------------------
             |             Linearized
perf_priva~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |  -.0059445   .0589262    -0.10   0.920    -.1215167    .1096277
       wave4 |   -.050404   .0318599    -1.58   0.114    -.1128909     .012083
       trump |   .1168133   .0413956     2.82   0.005     .0356241    .1980026
       _cons |   .1928799   .0234839     8.21   0.000     .1468208    .2389391
------------------------------------------------------------------------------

. svy: regress perf_monitor_opponents     wave4_trump wave4 trump if(wave==3 | wave==4)  
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,702
Number of PSUs     =     1,702                  Population size   = 1,667.7265
                                                Design df         =      1,701
                                                F(   3,   1699)   =       2.40
                                                Prob > F          =     0.0666
                                                R-squared         =     0.0079

------------------------------------------------------------------------------
             |             Linearized
perf_monit~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |   .0191519   .0686901     0.28   0.780    -.1155742    .1538779
       wave4 |   -.091669   .0401301    -2.28   0.022    -.1703785   -.0129594
       trump |  -.0334258   .0483898    -0.69   0.490    -.1283356    .0614839
       _cons |   .4317082   .0294918    14.64   0.000     .3738642    .4895522
------------------------------------------------------------------------------

. svy: regress perf_equal_rights          wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,838
Number of PSUs     =     1,838                  Population size   = 1,841.6716
                                                Design df         =      1,837
                                                F(   3,   1835)   =      30.44
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0895

------------------------------------------------------------------------------
             |             Linearized
perf_equal~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |  -.0076425    .063979    -0.12   0.905    -.1331218    .1178368
       wave4 |  -.0504132   .0399817    -1.26   0.208    -.1288275    .0280011
       trump |   .3020699   .0448141     6.74   0.000     .2141779    .3899618
       _cons |   .3800629   .0287416    13.22   0.000     .3236932    .4364326
------------------------------------------------------------------------------

. svy: regress perf_journalists           wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,765
Number of PSUs     =     1,765                  Population size   = 1,807.0956
                                                Design df         =      1,764
                                                F(   3,   1762)   =      28.06
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0748

------------------------------------------------------------------------------
             |             Linearized
perf_journ~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |    .146163   .0636706     2.30   0.022     .0212853    .2710407
       wave4 |   -.209691   .0401046    -5.23   0.000    -.2883485   -.1310336
       trump |   .1411362    .045661     3.09   0.002     .0515809    .2306916
       _cons |   .4856022   .0307583    15.79   0.000     .4252757    .5459286
------------------------------------------------------------------------------

. svy: regress perf_private_violence      wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,696
Number of PSUs     =     1,696                  Population size   = 1,646.8214
                                                Design df         =      1,695
                                                F(   3,   1693)   =       1.09
                                                Prob > F          =     0.3510
                                                R-squared         =     0.0037

------------------------------------------------------------------------------
             |             Linearized
perf_priva~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |  -.0106842   .0647363    -0.17   0.869    -.1376557    .1162873
       wave4 |  -.0430175   .0384603    -1.12   0.264    -.1184522    .0324171
       trump |   .0369446   .0478134     0.77   0.440     -.056835    .1307242
       _cons |   .3358435   .0286173    11.74   0.000     .2797146    .3919723
------------------------------------------------------------------------------

. svy: regress perf_free_speech           wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,823
Number of PSUs     =     1,823                  Population size   = 1,816.6955
                                                Design df         =      1,822
                                                F(   3,   1820)   =       6.29
                                                Prob > F          =     0.0003
                                                R-squared         =     0.0182

------------------------------------------------------------------------------
             |             Linearized
perf_free_~h |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |   .0807301   .0642536     1.26   0.209    -.0452883    .2067485
       wave4 |   -.160252   .0396087    -4.05   0.000    -.2379352   -.0825689
       trump |  -.0331695   .0427456    -0.78   0.438     -.117005    .0506659
       _cons |    .642207   .0271039    23.69   0.000     .5890491     .695365
------------------------------------------------------------------------------

. svy: regress perf_patriotism            wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,773
Number of PSUs     =     1,773                  Population size   = 1,711.2967
                                                Design df         =      1,772
                                                F(   3,   1770)   =       1.38
                                                Prob > F          =     0.2470
                                                R-squared         =     0.0055

------------------------------------------------------------------------------
             |             Linearized
perf_patri~m |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |   -.030849   .0592281    -0.52   0.603    -.1470133    .0853154
       wave4 |  -.0057624   .0359928    -0.16   0.873    -.0763552    .0648304
       trump |    .072297   .0425719     1.70   0.090    -.0111995    .1557935
       _cons |   .1971524   .0249818     7.89   0.000     .1481555    .2461493
------------------------------------------------------------------------------

. svy: regress perf_foreign               wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,692
Number of PSUs     =     1,692                  Population size   = 1,637.1005
                                                Design df         =      1,691
                                                F(   3,   1689)   =      51.20
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1532

------------------------------------------------------------------------------
             |             Linearized
perf_foreign |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |  -.1258883   .0624795    -2.01   0.044    -.2484337   -.0033429
       wave4 |  -.0118707   .0336851    -0.35   0.725    -.0779397    .0541982
       trump |   .4366964   .0428616    10.19   0.000      .352629    .5207638
       _cons |   .2319203   .0232513     9.97   0.000      .186316    .2775246
------------------------------------------------------------------------------

. svy: regress perf_ban_ideology          wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,727
Number of PSUs     =     1,727                  Population size   = 1,708.2345
                                                Design df         =      1,726
                                                F(   3,   1724)   =       2.46
                                                Prob > F          =     0.0612
                                                R-squared         =     0.0072

------------------------------------------------------------------------------
             |             Linearized
perf_ban_i~y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |   .0403004   .0662761     0.61   0.543    -.0896896    .1702904
       wave4 |  -.0834703   .0405022    -2.06   0.039    -.1629089   -.0040317
       trump |   .0272012   .0462887     0.59   0.557    -.0635866    .1179891
       _cons |   .6112105   .0295803    20.66   0.000     .5531935    .6692274
------------------------------------------------------------------------------

. svy: regress perf_voting_rights         wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,873
Number of PSUs     =     1,873                  Population size   = 1,860.9462
                                                Design df         =      1,872
                                                F(   3,   1870)   =      37.87
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0989

------------------------------------------------------------------------------
             |             Linearized
perf_votin~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |   .0024293   .0583725     0.04   0.967    -.1120528    .1169114
       wave4 |  -.0238786   .0411859    -0.58   0.562    -.1046537    .0568964
       trump |   .3092453    .042056     7.35   0.000     .2267638    .3917268
       _cons |   .5189055   .0294624    17.61   0.000     .4611229    .5766881
------------------------------------------------------------------------------

. svy: regress perf_votes_impact          wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,771
Number of PSUs     =     1,771                  Population size   = 1,688.5571
                                                Design df         =      1,770
                                                F(   3,   1768)   =      19.58
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0603

------------------------------------------------------------------------------
             |             Linearized
perf_votes~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |   .0250304   .0657902     0.38   0.704    -.1040043    .1540651
       wave4 |  -.1017464   .0408355    -2.49   0.013    -.1818373   -.0216555
       trump |   .2161041   .0457919     4.72   0.000     .1262921     .305916
       _cons |   .4159695   .0293557    14.17   0.000      .358394     .473545
------------------------------------------------------------------------------

. svy: regress perf_election_fraud        wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,786
Number of PSUs     =     1,786                  Population size   = 1,736.5032
                                                Design df         =      1,785
                                                F(   3,   1783)   =       1.46
                                                Prob > F          =     0.2234
                                                R-squared         =     0.0042

------------------------------------------------------------------------------
             |             Linearized
perf_elect~d |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |   .0567229   .0650688     0.87   0.383    -.0708961    .1843419
       wave4 |  -.0783519   .0402775    -1.95   0.052     -.157348    .0006442
       trump |  -.0079565   .0446116    -0.18   0.858    -.0954531      .07954
       _cons |     .54984   .0283828    19.37   0.000      .494173     .605507
------------------------------------------------------------------------------

. svy: regress perf_expand_executive      wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,663
Number of PSUs     =     1,663                  Population size   = 1,621.3239
                                                Design df         =      1,662
                                                F(   3,   1660)   =      12.40
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0378

------------------------------------------------------------------------------
             |             Linearized
perf_expan~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |   .2043547   .0663514     3.08   0.002     .0742137    .3344957
       wave4 |  -.1502124   .0418658    -3.59   0.000    -.2323278   -.0680971
       trump |   .0490332   .0470086     1.04   0.297    -.0431691    .1412355
       _cons |   .5153715   .0315331    16.34   0.000     .4535227    .5772202
------------------------------------------------------------------------------

. svy: regress perf_legislature_check     wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,750
Number of PSUs     =     1,750                  Population size   =  1,678.898
                                                Design df         =      1,749
                                                F(   3,   1747)   =       7.75
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0232

------------------------------------------------------------------------------
             |             Linearized
perf_legis~k |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |    .084114   .0658455     1.28   0.202    -.0450301    .2132582
       wave4 |  -.1016268   .0403286    -2.52   0.012    -.1807242   -.0225294
       trump |   .0857644   .0452152     1.90   0.058    -.0029171    .1744459
       _cons |   .4561028   .0298274    15.29   0.000     .3976017    .5146039
------------------------------------------------------------------------------

. svy: regress perf_judiciary_check       wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,714
Number of PSUs     =     1,714                  Population size   = 1,690.2207
                                                Design df         =      1,713
                                                F(   3,   1711)   =       6.27
                                                Prob > F          =     0.0003
                                                R-squared         =     0.0208

------------------------------------------------------------------------------
             |             Linearized
perf_judic~k |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |   .0920249   .0669797     1.37   0.170    -.0393458    .2233955
       wave4 |  -.1136948   .0427567    -2.66   0.008    -.1975557    -.029834
       trump |    .066522   .0477834     1.39   0.164    -.0271981     .160242
       _cons |   .5653462   .0306473    18.45   0.000     .5052362    .6254563
------------------------------------------------------------------------------

. svy: regress perf_judicial_ind          wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,680
Number of PSUs     =     1,680                  Population size   = 1,652.7032
                                                Design df         =      1,679
                                                F(   3,   1677)   =      11.18
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0352

------------------------------------------------------------------------------
             |             Linearized
perf_judic~d |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |   .0215462   .0665753     0.32   0.746    -.1090332    .1521256
       wave4 |  -.1722155   .0411481    -4.19   0.000    -.2529224   -.0915086
       trump |   .0716516   .0479431     1.49   0.135    -.0223829    .1656861
       _cons |   .5280028   .0306665    17.22   0.000     .4678542    .5881514
------------------------------------------------------------------------------

. svy: regress perf_participation         wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,759
Number of PSUs     =     1,759                  Population size   = 1,680.5749
                                                Design df         =      1,758
                                                F(   3,   1756)   =       6.59
                                                Prob > F          =     0.0002
                                                R-squared         =     0.0222

------------------------------------------------------------------------------
             |             Linearized
perf_parti~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |  -.1726377   .0626016    -2.76   0.006    -.2954191   -.0498563
       wave4 |   .0444068   .0380795     1.17   0.244    -.0302792    .1190927
       trump |   .1981427   .0449453     4.41   0.000     .1099909    .2862946
       _cons |   .2611123   .0246324    10.60   0.000     .2128004    .3094243
------------------------------------------------------------------------------

. svy: regress perf_funds_transparent     wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,695
Number of PSUs     =     1,695                  Population size   = 1,660.9726
                                                Design df         =      1,694
                                                F(   3,   1692)   =       4.39
                                                Prob > F          =     0.0044
                                                R-squared         =     0.0147

------------------------------------------------------------------------------
             |             Linearized
perf_funds~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |   .0437172   .0645218     0.68   0.498    -.0828336     .170268
       wave4 |  -.0430627   .0407844    -1.06   0.291    -.1230559    .0369305
       trump |   .0874715   .0464155     1.88   0.060    -.0035663    .1785093
       _cons |   .3087146   .0304329    10.14   0.000     .2490246    .3684045
------------------------------------------------------------------------------

. svy: regress perf_contributions         wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,684
Number of PSUs     =     1,684                  Population size   = 1,678.0736
                                                Design df         =      1,683
                                                F(   3,   1681)   =       3.80
                                                Prob > F          =     0.0100
                                                R-squared         =     0.0162

------------------------------------------------------------------------------
             |             Linearized
perf_contr~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |  -.1034676   .0607705    -1.70   0.089    -.2226614    .0157262
       wave4 |   .0181268   .0371334     0.49   0.626    -.0547057    .0909594
       trump |   .1431159   .0446253     3.21   0.001      .055589    .2306429
       _cons |   .1769435    .025757     6.87   0.000     .1264243    .2274627
------------------------------------------------------------------------------

. svy: regress perf_opinions              wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,748
Number of PSUs     =     1,748                  Population size   = 1,716.4532
                                                Design df         =      1,747
                                                F(   3,   1745)   =       4.29
                                                Prob > F          =     0.0050
                                                R-squared         =     0.0132

------------------------------------------------------------------------------
             |             Linearized
perf_opini~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |   -.009096   .0670229    -0.14   0.892    -.1405496    .1223575
       wave4 |   -.100989   .0411401    -2.45   0.014    -.1816779   -.0203001
       trump |   .0489627    .046611     1.05   0.294    -.0424565    .1403819
       _cons |   .5736677   .0300877    19.07   0.000      .514656    .6326793
------------------------------------------------------------------------------

. svy: regress perf_districts             wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,648
Number of PSUs     =     1,648                  Population size   = 1,628.8645
                                                Design df         =      1,647
                                                F(   3,   1645)   =      28.62
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0992

------------------------------------------------------------------------------
             |             Linearized
perf_distr~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |  -.0585782   .0655065    -0.89   0.371     -.187063    .0699065
       wave4 |  -.0326165   .0375302    -0.87   0.385    -.1062284    .0409955
       trump |   .3195424   .0457359     6.99   0.000     .2298357    .4092491
       _cons |   .2212432   .0278622     7.94   0.000     .1665942    .2758922
------------------------------------------------------------------------------

. svy: regress perf_common_und            wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,757
Number of PSUs     =     1,757                  Population size   = 1,759.7901
                                                Design df         =      1,756
                                                F(   3,   1754)   =       7.51
                                                Prob > F          =     0.0001
                                                R-squared         =     0.0272

------------------------------------------------------------------------------
             |             Linearized
perf_commo~d |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |  -.0466743   .0611635    -0.76   0.446    -.1666352    .0732866
       wave4 |  -.0609295   .0351304    -1.73   0.083    -.1298313    .0079723
       trump |   .1456188   .0450666     3.23   0.001     .0572289    .2340086
       _cons |   .2574977    .025337    10.16   0.000     .2078038    .3071916
------------------------------------------------------------------------------

. svy: regress perf_compromise            wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,706
Number of PSUs     =     1,706                  Population size   = 1,740.8251
                                                Design df         =      1,705
                                                F(   3,   1703)   =       5.51
                                                Prob > F          =     0.0009
                                                R-squared         =     0.0214

------------------------------------------------------------------------------
             |             Linearized
perf_compr~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |  -.0349412   .0623004    -0.56   0.575    -.1571345    .0872521
       wave4 |  -.0524231   .0387233    -1.35   0.176    -.1283732    .0235271
       trump |   .1228281   .0463388     2.65   0.008     .0319413    .2137149
       _cons |   .2364068   .0291647     8.11   0.000     .1792044    .2936092
------------------------------------------------------------------------------

. svy: regress perf_candidates_disclose   wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,798
Number of PSUs     =     1,798                  Population size   = 1,746.3272
                                                Design df         =      1,797
                                                F(   3,   1795)   =      10.77
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0309

------------------------------------------------------------------------------
             |             Linearized
perf_candi~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |   .0743276   .0652446     1.14   0.255    -.0536356    .2022908
       wave4 |  -.1328611   .0395806    -3.36   0.001    -.2104898   -.0552323
       trump |   .0996757   .0465626     2.14   0.032     .0083532    .1909982
       _cons |   .4845397   .0294411    16.46   0.000     .4267972    .5422821
------------------------------------------------------------------------------

. svy: regress perf_protest               wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,850
Number of PSUs     =     1,850                  Population size   =  1,756.329
                                                Design df         =      1,849
                                                F(   3,   1847)   =       7.30
                                                Prob > F          =     0.0001
                                                R-squared         =     0.0214

------------------------------------------------------------------------------
             |             Linearized
perf_protest |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |   .1313401   .0635562     2.07   0.039     .0066906    .2559896
       wave4 |  -.1020121   .0386503    -2.64   0.008    -.1778148   -.0262094
       trump |   .0536884   .0435793     1.23   0.218    -.0317814    .1391582
       _cons |   .5725681   .0282052    20.30   0.000     .5172508    .6278855
------------------------------------------------------------------------------

. svy: regress perf_investigations        wave4_trump wave4 trump if(wave==3 | wave==4) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,761
Number of PSUs     =     1,761                  Population size   = 1,701.7663
                                                Design df         =      1,760
                                                F(   3,   1758)   =       5.42
                                                Prob > F          =     0.0010
                                                R-squared         =     0.0181

------------------------------------------------------------------------------
             |             Linearized
perf_inves~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 wave4_trump |  -.0784089   .0593954    -1.32   0.187    -.1949019    .0380842
       wave4 |  -.0500373   .0344446    -1.45   0.146    -.1175939    .0175193
       trump |   .1203225   .0427134     2.82   0.005     .0365482    .2040968
       _cons |   .2780312   .0246682    11.27   0.000     .2296491    .3264134
------------------------------------------------------------------------------

.  
. 
. * COMPARE WAVE 5 --> WAVE 6 CHANGES FOR RESPONDENTS WHO APPROVE OF TRUMP
. svyset [pweight=weight]

      pweight: weight
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: regress perf_misconduct wave6          if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        723
Number of PSUs     =       723                  Population size   = 767.359162
                                                Design df         =        722
                                                F(   1,    722)   =       2.56
                                                Prob > F          =     0.1101
                                                R-squared         =     0.0045

------------------------------------------------------------------------------
             |             Linearized
perf_misco~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0607355   .0379665     1.60   0.110    -.0138024    .1352734
       _cons |   .2517371   .0249685    10.08   0.000     .2027176    .3007566
------------------------------------------------------------------------------

. svy: regress perf_private_gain wave6        if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        800
Number of PSUs     =       800                  Population size   = 825.161507
                                                Design df         =        799
                                                F(   1,    799)   =       0.54
                                                Prob > F          =     0.4608
                                                R-squared         =     0.0009

------------------------------------------------------------------------------
             |             Linearized
perf_priva~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0231299   .0313435     0.74   0.461    -.0383956    .0846553
       _cons |   .1714424    .022372     7.66   0.000     .1275276    .2153572
------------------------------------------------------------------------------

. svy: regress perf_monitor_opponents wave6   if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        745
Number of PSUs     =       745                  Population size   = 756.752779
                                                Design df         =        744
                                                F(   1,    744)   =       3.91
                                                Prob > F          =     0.0483
                                                R-squared         =     0.0059

------------------------------------------------------------------------------
             |             Linearized
perf_monit~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0690132   .0348854     1.98   0.048     .0005276    .1374988
       _cons |   .2436614   .0237813    10.25   0.000     .1969751    .2903478
------------------------------------------------------------------------------

. svy: regress perf_equal_rights wave6        if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        777
Number of PSUs     =       777                  Population size   = 810.553746
                                                Design df         =        776
                                                F(   1,    776)   =       0.00
                                                Prob > F          =     0.9881
                                                R-squared         =     0.0000

------------------------------------------------------------------------------
             |             Linearized
perf_equal~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0005855   .0392831    -0.01   0.988    -.0776993    .0765283
       _cons |   .5508311   .0280367    19.65   0.000     .4957942    .6058679
------------------------------------------------------------------------------

. svy: regress perf_journalists wave6         if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        767
Number of PSUs     =       767                  Population size   = 788.543507
                                                Design df         =        766
                                                F(   1,    766)   =       1.27
                                                Prob > F          =     0.2606
                                                R-squared         =     0.0019

------------------------------------------------------------------------------
             |             Linearized
perf_journ~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0436541   .0387722     1.13   0.261    -.0324582    .1197665
       _cons |   .4679826   .0278195    16.82   0.000      .413371    .5225941
------------------------------------------------------------------------------

. svy: regress perf_private_violence wave6    if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        728
Number of PSUs     =       728                  Population size   =  756.92291
                                                Design df         =        727
                                                F(   1,    727)   =       0.44
                                                Prob > F          =     0.5086
                                                R-squared         =     0.0007

------------------------------------------------------------------------------
             |             Linearized
perf_priva~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0231912   .0350659    -0.66   0.509    -.0920337    .0456513
       _cons |    .290848   .0257528    11.29   0.000     .2402891    .3414068
------------------------------------------------------------------------------

. svy: regress perf_free_speech wave6         if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        787
Number of PSUs     =       787                  Population size   = 817.541182
                                                Design df         =        786
                                                F(   1,    786)   =       0.11
                                                Prob > F          =     0.7401
                                                R-squared         =     0.0002

------------------------------------------------------------------------------
             |             Linearized
perf_free_~h |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0131228   .0395498     0.33   0.740     -.064513    .0907585
       _cons |   .5006805   .0284816    17.58   0.000     .4447714    .5565896
------------------------------------------------------------------------------

. svy: regress perf_patriotism wave6          if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        743
Number of PSUs     =       743                  Population size   =  779.74825
                                                Design df         =        742
                                                F(   1,    742)   =       2.23
                                                Prob > F          =     0.1355
                                                R-squared         =     0.0033

------------------------------------------------------------------------------
             |             Linearized
perf_patri~m |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0461088   .0308528     1.49   0.135    -.0144604     .106678
       _cons |   .1751485   .0208403     8.40   0.000     .1342354    .2160615
------------------------------------------------------------------------------

. svy: regress perf_foreign wave6             if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        728
Number of PSUs     =       728                  Population size   = 755.430566
                                                Design df         =        727
                                                F(   1,    727)   =       0.22
                                                Prob > F          =     0.6418
                                                R-squared         =     0.0004

------------------------------------------------------------------------------
             |             Linearized
perf_foreign |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0187735   .0403414     0.47   0.642    -.0604259     .097973
       _cons |   .5446973   .0286073    19.04   0.000     .4885345    .6008601
------------------------------------------------------------------------------

. svy: regress perf_ban_ideology wave6        if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        741
Number of PSUs     =       741                  Population size   = 767.813743
                                                Design df         =        740
                                                F(   1,    740)   =       0.13
                                                Prob > F          =     0.7149
                                                R-squared         =     0.0002

------------------------------------------------------------------------------
             |             Linearized
perf_ban_i~y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0148267   .0405807    -0.37   0.715    -.0944937    .0648402
       _cons |   .5479346   .0285879    19.17   0.000     .4918115    .6040576
------------------------------------------------------------------------------

. svy: regress perf_voting_rights wave6       if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        804
Number of PSUs     =       804                  Population size   = 846.563261
                                                Design df         =        803
                                                F(   1,    803)   =       0.56
                                                Prob > F          =     0.4525
                                                R-squared         =     0.0009

------------------------------------------------------------------------------
             |             Linearized
perf_votin~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0227781   .0303071    -0.75   0.453    -.0822687    .0367125
       _cons |   .8300998   .0194001    42.79   0.000     .7920189    .8681808
------------------------------------------------------------------------------

. svy: regress perf_votes_impact wave6        if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        774
Number of PSUs     =       774                  Population size   = 826.795621
                                                Design df         =        773
                                                F(   1,    773)   =       0.16
                                                Prob > F          =     0.6920
                                                R-squared         =     0.0003

------------------------------------------------------------------------------
             |             Linearized
perf_votes~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0157437   .0397224     0.40   0.692    -.0622328    .0937202
       _cons |    .554641   .0278763    19.90   0.000     .4999188    .6093632
------------------------------------------------------------------------------

. svy: regress perf_election_fraud wave6      if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        787
Number of PSUs     =       787                  Population size   = 843.275197
                                                Design df         =        786
                                                F(   1,    786)   =       1.80
                                                Prob > F          =     0.1807
                                                R-squared         =     0.0028

------------------------------------------------------------------------------
             |             Linearized
perf_elect~d |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0535481   .0399637     1.34   0.181    -.0249002    .1319963
       _cons |   .4692641   .0282189    16.63   0.000     .4138707    .5246575
------------------------------------------------------------------------------

. svy: regress perf_expand_executive wave6    if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        717
Number of PSUs     =       717                  Population size   = 745.579188
                                                Design df         =        716
                                                F(   1,    716)   =       2.89
                                                Prob > F          =     0.0896
                                                R-squared         =     0.0049

------------------------------------------------------------------------------
             |             Linearized
perf_expan~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0680111   .0400077     1.70   0.090    -.0105353    .1465575
       _cons |   .5808544   .0291705    19.91   0.000     .5235844    .6381243
------------------------------------------------------------------------------

. svy: regress perf_legislature_check wave6   if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        727
Number of PSUs     =       727                  Population size   = 753.476716
                                                Design df         =        726
                                                F(   1,    726)   =       0.50
                                                Prob > F          =     0.4799
                                                R-squared         =     0.0008

------------------------------------------------------------------------------
             |             Linearized
perf_legis~k |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0281035   .0397603     0.71   0.480    -.0499554    .1061624
       _cons |   .5712674   .0269784    21.17   0.000     .5183024    .6242324
------------------------------------------------------------------------------

. svy: regress perf_judiciary_check wave6     if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        704
Number of PSUs     =       704                  Population size   = 734.336468
                                                Design df         =        703
                                                F(   1,    703)   =       0.47
                                                Prob > F          =     0.4939
                                                R-squared         =     0.0008

------------------------------------------------------------------------------
             |             Linearized
perf_judic~k |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0276368    .040381     0.68   0.494    -.0516451    .1069186
       _cons |   .5822743   .0284526    20.46   0.000      .526412    .6381366
------------------------------------------------------------------------------

. svy: regress perf_judicial_ind wave6        if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        742
Number of PSUs     =       742                  Population size   =  774.89939
                                                Design df         =        741
                                                F(   1,    741)   =       3.36
                                                Prob > F          =     0.0671
                                                R-squared         =     0.0053

------------------------------------------------------------------------------
             |             Linearized
perf_judic~d |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0729095   .0397576     1.83   0.067    -.0051414    .1509603
       _cons |   .4459126   .0276549    16.12   0.000     .3916214    .5002039
------------------------------------------------------------------------------

. svy: regress perf_participation wave6       if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        767
Number of PSUs     =       767                  Population size   = 808.495048
                                                Design df         =        766
                                                F(   1,    766)   =       0.80
                                                Prob > F          =     0.3723
                                                R-squared         =     0.0014

------------------------------------------------------------------------------
             |             Linearized
perf_parti~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0365253   .0409126     0.89   0.372    -.0437888    .1168393
       _cons |   .3801598   .0287129    13.24   0.000     .3237944    .4365252
------------------------------------------------------------------------------

. svy: regress perf_funds_transparent wave6   if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        751
Number of PSUs     =       751                  Population size   = 786.084771
                                                Design df         =        750
                                                F(   1,    750)   =       2.28
                                                Prob > F          =     0.1315
                                                R-squared         =     0.0035

------------------------------------------------------------------------------
             |             Linearized
perf_funds~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0582396   .0385753     1.51   0.132    -.0174888     .133968
       _cons |   .3737434   .0272992    13.69   0.000     .3201514    .4273354
------------------------------------------------------------------------------

. svy: regress perf_contributions wave6       if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        765
Number of PSUs     =       765                  Population size   = 796.689971
                                                Design df         =        764
                                                F(   1,    764)   =       5.38
                                                Prob > F          =     0.0207
                                                R-squared         =     0.0096

------------------------------------------------------------------------------
             |             Linearized
perf_contr~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0888275    .038303     2.32   0.021     .0136359    .1640191
       _cons |   .2391716   .0264218     9.05   0.000     .1873037    .2910396
------------------------------------------------------------------------------

. svy: regress perf_opinions wave6            if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        796
Number of PSUs     =       796                  Population size   = 846.936726
                                                Design df         =        795
                                                F(   1,    795)   =       4.78
                                                Prob > F          =     0.0291
                                                R-squared         =     0.0077

------------------------------------------------------------------------------
             |             Linearized
perf_opini~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0873726   .0399705     2.19   0.029     .0089124    .1658329
       _cons |    .504326    .028815    17.50   0.000     .4477636    .5608884
------------------------------------------------------------------------------

. svy: regress perf_districts wave6           if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        709
Number of PSUs     =       709                  Population size   = 751.950902
                                                Design df         =        708
                                                F(   1,    708)   =       2.43
                                                Prob > F          =     0.1194
                                                R-squared         =     0.0042

------------------------------------------------------------------------------
             |             Linearized
perf_distr~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0637193   .0408674     1.56   0.119    -.0165164     .143955
       _cons |   .3857762   .0282282    13.67   0.000     .3303552    .4411971
------------------------------------------------------------------------------

. svy: regress perf_common_und wave6          if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        765
Number of PSUs     =       765                  Population size   = 805.953532
                                                Design df         =        764
                                                F(   1,    764)   =       0.00
                                                Prob > F          =     0.9576
                                                R-squared         =     0.0000

------------------------------------------------------------------------------
             |             Linearized
perf_commo~d |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0018172   .0341689     0.05   0.958    -.0652589    .0688933
       _cons |   .2294322   .0249564     9.19   0.000     .1804408    .2784235
------------------------------------------------------------------------------

. svy: regress perf_compromise wave6          if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        721
Number of PSUs     =       721                  Population size   =  762.27308
                                                Design df         =        720
                                                F(   1,    720)   =       0.03
                                                Prob > F          =     0.8595
                                                R-squared         =     0.0001

------------------------------------------------------------------------------
             |             Linearized
perf_compr~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0063446   .0358215    -0.18   0.859    -.0766716    .0639824
       _cons |   .2640962   .0246651    10.71   0.000     .2156721    .3125203
------------------------------------------------------------------------------

. svy: regress perf_candidates_disclose wave6 if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        744
Number of PSUs     =       744                  Population size   = 790.030149
                                                Design df         =        743
                                                F(   1,    743)   =       1.11
                                                Prob > F          =     0.2918
                                                R-squared         =     0.0019

------------------------------------------------------------------------------
             |             Linearized
perf_candi~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0433992   .0411414     1.05   0.292     -.037368    .1241663
       _cons |   .4823814   .0291884    16.53   0.000     .4250798    .5396831
------------------------------------------------------------------------------

. svy: regress perf_protest wave6             if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        802
Number of PSUs     =       802                  Population size   =  838.91608
                                                Design df         =        801
                                                F(   1,    801)   =       0.84
                                                Prob > F          =     0.3592
                                                R-squared         =     0.0013

------------------------------------------------------------------------------
             |             Linearized
perf_protest |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0339637   .0370189     0.92   0.359    -.0387018    .1066292
       _cons |   .6489806   .0256968    25.26   0.000     .5985396    .6994215
------------------------------------------------------------------------------

. svy: regress perf_investigations wave6      if((wave==5 | wave==6) & trump==1) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        774
Number of PSUs     =       774                  Population size   = 797.917045
                                                Design df         =        773
                                                F(   1,    773)   =       4.14
                                                Prob > F          =     0.0423
                                                R-squared         =     0.0062

------------------------------------------------------------------------------
             |             Linearized
perf_inves~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |    .068266   .0335645     2.03   0.042     .0023777    .1341543
       _cons |   .2158177   .0230737     9.35   0.000     .1705232    .2611121
------------------------------------------------------------------------------

. 
. 
. * COMPARE WAVE 5 --> WAVE 6 CHANGES FOR RESPONDENTS WHO DISAPPROVE OF TRUMP
. svyset [pweight=weight]

      pweight: weight
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: regress perf_misconduct wave6          if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        962
Number of PSUs     =       962                  Population size   = 894.589082
                                                Design df         =        961
                                                F(   1,    961)   =       3.88
                                                Prob > F          =     0.0493
                                                R-squared         =     0.0056

------------------------------------------------------------------------------
             |             Linearized
perf_misco~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0620179    .031501    -1.97   0.049    -.1238366   -.0001992
       _cons |   .2501442   .0213621    11.71   0.000     .2082226    .2920659
------------------------------------------------------------------------------

. svy: regress perf_private_gain wave6        if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,032
Number of PSUs     =     1,032                  Population size   = 965.732667
                                                Design df         =      1,031
                                                F(   1,   1031)   =       1.07
                                                Prob > F          =     0.3010
                                                R-squared         =     0.0018

------------------------------------------------------------------------------
             |             Linearized
perf_priva~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0303301   .0293084    -1.03   0.301     -.087841    .0271809
       _cons |   .1609361   .0224786     7.16   0.000      .116827    .2050452
------------------------------------------------------------------------------

. svy: regress perf_monitor_opponents wave6   if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        944
Number of PSUs     =       944                  Population size   = 893.585667
                                                Design df         =        943
                                                F(   1,    943)   =       0.37
                                                Prob > F          =     0.5417
                                                R-squared         =     0.0006

------------------------------------------------------------------------------
             |             Linearized
perf_monit~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0219981   .0360369    -0.61   0.542    -.0927198    .0487237
       _cons |   .3215924   .0254669    12.63   0.000      .271614    .3715707
------------------------------------------------------------------------------

. svy: regress perf_equal_rights wave6        if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,066
Number of PSUs     =     1,066                  Population size   = 997.186699
                                                Design df         =      1,065
                                                F(   1,   1065)   =       4.73
                                                Prob > F          =     0.0299
                                                R-squared         =     0.0063

------------------------------------------------------------------------------
             |             Linearized
perf_equal~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0708238    .032582    -2.17   0.030     -.134756   -.0068916
       _cons |    .307752   .0253569    12.14   0.000     .2579969    .3575071
------------------------------------------------------------------------------

. svy: regress perf_journalists wave6         if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,060
Number of PSUs     =     1,060                  Population size   = 995.010987
                                                Design df         =      1,059
                                                F(   1,   1059)   =      10.12
                                                Prob > F          =     0.0015
                                                R-squared         =     0.0128

------------------------------------------------------------------------------
             |             Linearized
perf_journ~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.1029275   .0323546    -3.18   0.002    -.1664139   -.0394411
       _cons |   .3423353   .0256704    13.34   0.000     .2919647    .3927059
------------------------------------------------------------------------------

. svy: regress perf_private_violence wave6    if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        953
Number of PSUs     =       953                  Population size   =  897.81922
                                                Design df         =        952
                                                F(   1,    952)   =       0.50
                                                Prob > F          =     0.4790
                                                R-squared         =     0.0008

------------------------------------------------------------------------------
             |             Linearized
perf_priva~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0254714   .0359669    -0.71   0.479    -.0960549    .0451121
       _cons |     .30926    .026079    11.86   0.000     .2580811    .3604389
------------------------------------------------------------------------------

. svy: regress perf_free_speech wave6         if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,035
Number of PSUs     =     1,035                  Population size   = 980.115849
                                                Design df         =      1,034
                                                F(   1,   1034)   =       4.67
                                                Prob > F          =     0.0310
                                                R-squared         =     0.0060

------------------------------------------------------------------------------
             |             Linearized
perf_free_~h |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0773201    .035793    -2.16   0.031    -.1475554   -.0070848
       _cons |   .5299069   .0258363    20.51   0.000     .4792092    .5806045
------------------------------------------------------------------------------

. svy: regress perf_patriotism wave6          if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,023
Number of PSUs     =     1,023                  Population size   = 947.071938
                                                Design df         =      1,022
                                                F(   1,   1022)   =       0.00
                                                Prob > F          =     0.9886
                                                R-squared         =     0.0000

------------------------------------------------------------------------------
             |             Linearized
perf_patri~m |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0003228   .0225991     0.01   0.989    -.0440231    .0446687
       _cons |   .1127412   .0146277     7.71   0.000     .0840375     .141445
------------------------------------------------------------------------------

. svy: regress perf_foreign wave6             if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,057
Number of PSUs     =     1,057                  Population size   = 993.001206
                                                Design df         =      1,056
                                                F(   1,   1056)   =       4.01
                                                Prob > F          =     0.0455
                                                R-squared         =     0.0063

------------------------------------------------------------------------------
             |             Linearized
perf_foreign |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0610199   .0304778    -2.00   0.046    -.1208238    -.001216
       _cons |   .2114147   .0225537     9.37   0.000     .1671596    .2556699
------------------------------------------------------------------------------

. svy: regress perf_ban_ideology wave6        if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        973
Number of PSUs     =       973                  Population size   = 908.828779
                                                Design df         =        972
                                                F(   1,    972)   =       3.52
                                                Prob > F          =     0.0609
                                                R-squared         =     0.0049

------------------------------------------------------------------------------
             |             Linearized
perf_ban_i~y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0700568   .0373355    -1.88   0.061    -.1433243    .0032108
       _cons |   .5295077   .0272235    19.45   0.000     .4760842    .5829313
------------------------------------------------------------------------------

. svy: regress perf_voting_rights wave6       if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,090
Number of PSUs     =     1,090                  Population size   = 1,034.1783
                                                Design df         =      1,089
                                                F(   1,   1089)   =       1.72
                                                Prob > F          =     0.1898
                                                R-squared         =     0.0022

------------------------------------------------------------------------------
             |             Linearized
perf_votin~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0466068   .0355232    -1.31   0.190    -.1163086    .0230949
       _cons |   .4562622   .0256903    17.76   0.000     .4058542    .5066702
------------------------------------------------------------------------------

. svy: regress perf_votes_impact wave6        if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,036
Number of PSUs     =     1,036                  Population size   = 974.069826
                                                Design df         =      1,035
                                                F(   1,   1035)   =       7.05
                                                Prob > F          =     0.0080
                                                R-squared         =     0.0102

------------------------------------------------------------------------------
             |             Linearized
perf_votes~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0931354   .0350677    -2.66   0.008    -.1619474   -.0243234
       _cons |   .3483925   .0256313    13.59   0.000     .2980972    .3986878
------------------------------------------------------------------------------

. svy: regress perf_election_fraud wave6      if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,075
Number of PSUs     =     1,075                  Population size   = 1,005.3665
                                                Design df         =      1,074
                                                F(   1,   1074)   =      18.36
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0218

------------------------------------------------------------------------------
             |             Linearized
perf_elect~d |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.1464462   .0341762    -4.29   0.000    -.2135059   -.0793865
       _cons |   .5047866   .0257888    19.57   0.000     .4541846    .5553887
------------------------------------------------------------------------------

. svy: regress perf_expand_executive wave6    if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        948
Number of PSUs     =       948                  Population size   =  870.46245
                                                Design df         =        947
                                                F(   1,    947)   =       7.55
                                                Prob > F          =     0.0061
                                                R-squared         =     0.0110

------------------------------------------------------------------------------
             |             Linearized
perf_expan~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0988965   .0359817    -2.75   0.006    -.1695095   -.0282834
       _cons |    .380941   .0281232    13.55   0.000     .3257501     .436132
------------------------------------------------------------------------------

. svy: regress perf_legislature_check wave6   if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        973
Number of PSUs     =       973                  Population size   = 902.126653
                                                Design df         =        972
                                                F(   1,    972)   =       3.08
                                                Prob > F          =     0.0794
                                                R-squared         =     0.0047

------------------------------------------------------------------------------
             |             Linearized
perf_legis~k |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0634577   .0361379    -1.76   0.079     -.134375    .0074597
       _cons |   .3331204   .0261293    12.75   0.000     .2818442    .3843967
------------------------------------------------------------------------------

. svy: regress perf_judiciary_check wave6     if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,002
Number of PSUs     =     1,002                  Population size   = 943.061689
                                                Design df         =      1,001
                                                F(   1,   1001)   =      11.43
                                                Prob > F          =     0.0007
                                                R-squared         =     0.0147

------------------------------------------------------------------------------
             |             Linearized
perf_judic~k |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.1172656   .0346788    -3.38   0.001    -.1853171   -.0492141
       _cons |   .4262705   .0252713    16.87   0.000     .3766797    .4758612
------------------------------------------------------------------------------

. svy: regress perf_judicial_ind wave6        if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        974
Number of PSUs     =       974                  Population size   = 935.112536
                                                Design df         =        973
                                                F(   1,    973)   =       9.97
                                                Prob > F          =     0.0016
                                                R-squared         =     0.0150

------------------------------------------------------------------------------
             |             Linearized
perf_judic~d |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.1159392    .036724    -3.16   0.002    -.1880065   -.0438719
       _cons |   .3934472   .0287225    13.70   0.000      .337082    .4498123
------------------------------------------------------------------------------

. svy: regress perf_participation wave6       if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,034
Number of PSUs     =     1,034                  Population size   = 972.305202
                                                Design df         =      1,033
                                                F(   1,   1033)   =       0.05
                                                Prob > F          =     0.8201
                                                R-squared         =     0.0001

------------------------------------------------------------------------------
             |             Linearized
perf_parti~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0070949   .0311879    -0.23   0.820    -.0682936    .0541039
       _cons |   .2356864    .022814    10.33   0.000     .1909194    .2804534
------------------------------------------------------------------------------

. svy: regress perf_funds_transparent wave6   if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        988
Number of PSUs     =       988                  Population size   = 937.508648
                                                Design df         =        987
                                                F(   1,    987)   =       9.29
                                                Prob > F          =     0.0024
                                                R-squared         =     0.0132

------------------------------------------------------------------------------
             |             Linearized
perf_funds~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0990747   .0325024    -3.05   0.002    -.1628565    -.035293
       _cons |   .2942125   .0265789    11.07   0.000     .2420549    .3463701
------------------------------------------------------------------------------

. svy: regress perf_contributions wave6       if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        993
Number of PSUs     =       993                  Population size   = 932.505416
                                                Design df         =        992
                                                F(   1,    992)   =       3.14
                                                Prob > F          =     0.0768
                                                R-squared         =     0.0061

------------------------------------------------------------------------------
             |             Linearized
perf_contr~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |    -.05822   .0328626    -1.77   0.077    -.1227082    .0062681
       _cons |    .194445   .0257486     7.55   0.000     .1439171     .244973
------------------------------------------------------------------------------

. svy: regress perf_opinions wave6            if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,065
Number of PSUs     =     1,065                  Population size   = 1,014.7537
                                                Design df         =      1,064
                                                F(   1,   1064)   =       1.36
                                                Prob > F          =     0.2441
                                                R-squared         =     0.0018

------------------------------------------------------------------------------
             |             Linearized
perf_opini~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0421568   .0361728    -1.17   0.244    -.1131349    .0288213
       _cons |   .4907863   .0256839    19.11   0.000     .4403894    .5411833
------------------------------------------------------------------------------

. svy: regress perf_districts wave6           if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        937
Number of PSUs     =       937                  Population size   =  868.22496
                                                Design df         =        936
                                                F(   1,    936)   =       0.03
                                                Prob > F          =     0.8640
                                                R-squared         =     0.0000

------------------------------------------------------------------------------
             |             Linearized
perf_distr~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0048121   .0280864    -0.17   0.864    -.0599316    .0503074
       _cons |   .1381294   .0208187     6.63   0.000     .0972726    .1789861
------------------------------------------------------------------------------

. svy: regress perf_common_und wave6          if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,036
Number of PSUs     =     1,036                  Population size   = 979.331625
                                                Design df         =      1,035
                                                F(   1,   1035)   =       4.40
                                                Prob > F          =     0.0361
                                                R-squared         =     0.0067

------------------------------------------------------------------------------
             |             Linearized
perf_commo~d |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0625144   .0297959    -2.10   0.036    -.1209817    -.004047
       _cons |   .2039871   .0233734     8.73   0.000     .1581224    .2498519
------------------------------------------------------------------------------

. svy: regress perf_compromise wave6          if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        969
Number of PSUs     =       969                  Population size   = 910.412118
                                                Design df         =        968
                                                F(   1,    968)   =       4.72
                                                Prob > F          =     0.0300
                                                R-squared         =     0.0076

------------------------------------------------------------------------------
             |             Linearized
perf_compr~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0658567   .0303099    -2.17   0.030    -.1253373   -.0063761
       _cons |   .2038793   .0234331     8.70   0.000     .1578938    .2498648
------------------------------------------------------------------------------

. svy: regress perf_candidates_disclose wave6 if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,070
Number of PSUs     =     1,070                  Population size   =   1,008.63
                                                Design df         =      1,069
                                                F(   1,   1069)   =       0.04
                                                Prob > F          =     0.8347
                                                R-squared         =     0.0001

------------------------------------------------------------------------------
             |             Linearized
perf_candi~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0073329   .0351211    -0.21   0.835    -.0762471    .0615812
       _cons |   .4176103   .0242527    17.22   0.000      .370022    .4651987
------------------------------------------------------------------------------

. svy: regress perf_protest wave6             if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,073
Number of PSUs     =     1,073                  Population size   = 986.246889
                                                Design df         =      1,072
                                                F(   1,   1072)   =      11.85
                                                Prob > F          =     0.0006
                                                R-squared         =     0.0135

------------------------------------------------------------------------------
             |             Linearized
perf_protest |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.1160575   .0337194    -3.44   0.001    -.1822211   -.0498939
       _cons |   .5407746   .0236835    22.83   0.000     .4943034    .5872458
------------------------------------------------------------------------------

. svy: regress perf_investigations wave6      if((wave==5 | wave==6) & trump==0) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        998
Number of PSUs     =       998                  Population size   = 943.142333
                                                Design df         =        997
                                                F(   1,    997)   =       0.17
                                                Prob > F          =     0.6806
                                                R-squared         =     0.0003

------------------------------------------------------------------------------
             |             Linearized
perf_inves~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0143762   .0349119    -0.41   0.681    -.0828854    .0541331
       _cons |   .2499985   .0238152    10.50   0.000     .2032648    .2967323
------------------------------------------------------------------------------

. 
. 
.   
.   
. clear

. use "Data/BLW_Expert_Waves123456.dta", clear
( )

. 
. 
. recode perf_misconduct-perf_investigations (1=0) (2=0) (3=1) (4=1) (5=.)
(perf_misconduct: 3952 changes made)
(perf_private_gain: 3921 changes made)
(perf_monitor_opponents: 3940 changes made)
(perf_equal_rights: 3990 changes made)
(perf_journalists: 3977 changes made)
(perf_private_violence: 3916 changes made)
(perf_free_speech: 3983 changes made)
(perf_patriotism: 4016 changes made)
(perf_foreign_influence: 3916 changes made)
(perf_ban_ideology: 3926 changes made)
(perf_voting_rights: 3968 changes made)
(perf_votes_impact: 3977 changes made)
(perf_election_fraud: 3957 changes made)
(perf_expand_executive: 3855 changes made)
(perf_legislature_check: 3921 changes made)
(perf_judiciary_check: 3924 changes made)
(perf_judicial_ind: 4021 changes made)
(perf_participation: 2450 changes made)
(perf_funds_transparent: 2468 changes made)
(perf_contributions: 2460 changes made)
(perf_opinions: 2426 changes made)
(perf_districts: 2449 changes made)
(perf_common_und: 2455 changes made)
(perf_compromise: 2459 changes made)
(perf_candidates_disclose: 2422 changes made)
(perf_protest: 2444 changes made)
(perf_investigations: 2376 changes made)

. label value perf_misconduct-perf_investigations statementlabel

. 
. tab wave

       wave |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      1,569       24.40       24.40
          2 |      1,126       17.51       41.91
          3 |      1,055       16.41       58.32
          4 |      1,066       16.58       74.90
          5 |        935       14.54       89.44
          6 |        679       10.56      100.00
------------+-----------------------------------
      Total |      6,430      100.00

. 
. recode wave (1=1) (2=0) (3=0) (4=0) (5=0) (6=0), gen(wave1) 
(4861 differences between wave and wave1)

. recode wave (1=0) (2=1) (3=0) (4=0) (5=0) (6=0), gen(wave2)
(6430 differences between wave and wave2)

. recode wave (1=0) (2=0) (3=0) (4=0) (5=0) (6=1), gen(wave6)
(6430 differences between wave and wave6)

. 
. gen weight=1

. 
. 
. * COMPARES EXPERT PERFORMANCE EVALUATIONS FROM INITIAL WAVE FOR STATEMENT (1 OR 2) TO WAVE 6
. svyset [pweight=weight]

      pweight: weight
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: regress perf_misconduct wave6           if(wave==1 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,876
Number of PSUs     =     1,876                  Population size   =      1,876
                                                Design df         =      1,875
                                                F(   1,   1875)   =      14.38
                                                Prob > F          =     0.0002
                                                R-squared         =     0.0072

------------------------------------------------------------------------------
             |             Linearized
perf_misco~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.1093316   .0288297    -3.79   0.000    -.1658733   -.0527899
       _cons |   .4612378   .0127269    36.24   0.000     .4362774    .4861982
------------------------------------------------------------------------------

. svy: regress perf_private_gain wave6         if(wave==1 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,880
Number of PSUs     =     1,880                  Population size   =      1,880
                                                Design df         =      1,879
                                                F(   1,   1879)   =       6.81
                                                Prob > F          =     0.0091
                                                R-squared         =     0.0032

------------------------------------------------------------------------------
             |             Linearized
perf_priva~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0658603   .0252365    -2.61   0.009    -.1153548   -.0163659
       _cons |   .2797158   .0114114    24.51   0.000     .2573353    .3020962
------------------------------------------------------------------------------

. svy: regress perf_monitor_opponents wave6    if(wave==1 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,865
Number of PSUs     =     1,865                  Population size   =      1,865
                                                Design df         =      1,864
                                                F(   1,   1864)   =       1.18
                                                Prob > F          =     0.2773
                                                R-squared         =     0.0006

------------------------------------------------------------------------------
             |             Linearized
perf_monit~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0307826   .0283274    -1.09   0.277    -.0863395    .0247742
       _cons |   .6318608   .0124812    50.62   0.000     .6073821    .6563395
------------------------------------------------------------------------------

. svy: regress perf_equal_rights wave6         if(wave==1 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,898
Number of PSUs     =     1,898                  Population size   =      1,898
                                                Design df         =      1,897
                                                F(   1,   1897)   =       2.81
                                                Prob > F          =     0.0941
                                                R-squared         =     0.0014

------------------------------------------------------------------------------
             |             Linearized
perf_equal~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0487115    .029083    -1.67   0.094    -.1057496    .0083266
       _cons |   .4324324   .0125706    34.40   0.000     .4077787    .4570861
------------------------------------------------------------------------------

. svy: regress perf_journalists wave6          if(wave==1 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,897
Number of PSUs     =     1,897                  Population size   =      1,897
                                                Design df         =      1,896
                                                F(   1,   1896)   =       7.65
                                                Prob > F          =     0.0057
                                                R-squared         =     0.0042

------------------------------------------------------------------------------
             |             Linearized
perf_journ~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   -.079677   .0288124    -2.77   0.006    -.1361844   -.0231696
       _cons |   .6627756   .0120425    55.04   0.000     .6391578    .6863935
------------------------------------------------------------------------------

. svy: regress perf_private_violence wave6     if(wave==1 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,864
Number of PSUs     =     1,864                  Population size   =      1,864
                                                Design df         =      1,863
                                                F(   1,   1863)   =       8.79
                                                Prob > F          =     0.0031
                                                R-squared         =     0.0050

------------------------------------------------------------------------------
             |             Linearized
perf_priva~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0867128   .0292492    -2.96   0.003    -.1440774   -.0293483
       _cons |   .6915033   .0118112    58.55   0.000     .6683387    .7146678
------------------------------------------------------------------------------

. svy: regress perf_free_speech wave6          if(wave==1 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,927
Number of PSUs     =     1,927                  Population size   =      1,927
                                                Design df         =      1,926
                                                F(   1,   1926)   =       1.48
                                                Prob > F          =     0.2235
                                                R-squared         =     0.0008

------------------------------------------------------------------------------
             |             Linearized
perf_free_~h |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0283688   .0232963    -1.22   0.223    -.0740574    .0173198
       _cons |   .8156028   .0098497    82.80   0.000     .7962856      .83492
------------------------------------------------------------------------------

. svy: regress perf_patriotism wave6           if(wave==1 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,898
Number of PSUs     =     1,898                  Population size   =      1,898
                                                Design df         =      1,897
                                                F(   1,   1897)   =      12.79
                                                Prob > F          =     0.0004
                                                R-squared         =     0.0051

------------------------------------------------------------------------------
             |             Linearized
perf_patri~m |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   -.066949   .0187215    -3.58   0.000     -.103666   -.0302321
       _cons |    .168932   .0095351    17.72   0.000     .1502317    .1876324
------------------------------------------------------------------------------

. svy: regress perf_foreign wave6              if(wave==1 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,818
Number of PSUs     =     1,818                  Population size   =      1,818
                                                Design df         =      1,817
                                                F(   1,   1817)   =      41.56
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0199

------------------------------------------------------------------------------
             |             Linearized
perf_forei~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.1735475   .0269212    -6.45   0.000    -.2263474   -.1207477
       _cons |   .4569263   .0130809    34.93   0.000      .431271    .4825815
------------------------------------------------------------------------------

. svy: regress perf_ban_ideology wave6         if(wave==1 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,876
Number of PSUs     =     1,876                  Population size   =      1,876
                                                Design df         =      1,875
                                                F(   1,   1875)   =       0.29
                                                Prob > F          =     0.5896
                                                R-squared         =     0.0001

------------------------------------------------------------------------------
             |             Linearized
perf_ban_i~y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0112849   .0209164     0.54   0.590     -.029737    .0523069
       _cons |   .8454486   .0092529    91.37   0.000     .8273016    .8635956
------------------------------------------------------------------------------

. svy: regress perf_voting_rights wave6        if(wave==1 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,910
Number of PSUs     =     1,910                  Population size   =      1,910
                                                Design df         =      1,909
                                                F(   1,   1909)   =       0.01
                                                Prob > F          =     0.9424
                                                R-squared         =     0.0000

------------------------------------------------------------------------------
             |             Linearized
perf_votin~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0020587   .0284769     0.07   0.942    -.0537905    .0579079
       _cons |   .3708226   .0122484    30.28   0.000      .346801    .3948442
------------------------------------------------------------------------------

. svy: regress perf_votes_impact wave6         if(wave==1 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,872
Number of PSUs     =     1,872                  Population size   =      1,872
                                                Design df         =      1,871
                                                F(   1,   1871)   =       0.19
                                                Prob > F          =     0.6643
                                                R-squared         =     0.0001

------------------------------------------------------------------------------
             |             Linearized
perf_votes~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0111683   .0257331    -0.43   0.664    -.0616369    .0393003
       _cons |   .2428756   .0109161    22.25   0.000     .2214666    .2642847
------------------------------------------------------------------------------

. svy: regress perf_election_fraud wave6       if(wave==1 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,864
Number of PSUs     =     1,864                  Population size   =      1,864
                                                Design df         =      1,863
                                                F(   1,   1863)   =      24.77
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0186

------------------------------------------------------------------------------
             |             Linearized
perf_elect~d |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.1246869   .0250525    -4.98   0.000    -.1738208   -.0755529
       _cons |   .8799739   .0083027   105.99   0.000     .8636904    .8962574
------------------------------------------------------------------------------

. svy: regress perf_expand_executive wave6     if(wave==1 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,855
Number of PSUs     =     1,855                  Population size   =      1,855
                                                Design df         =      1,854
                                                F(   1,   1854)   =      39.45
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0195

------------------------------------------------------------------------------
             |             Linearized
perf_expan~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.1811516    .028842    -6.28   0.000    -.2377179   -.1245853
       _cons |   .5223979   .0128237    40.74   0.000     .4972474    .5475484
------------------------------------------------------------------------------

. svy: regress perf_legislature_check wave6    if(wave==1 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,876
Number of PSUs     =     1,876                  Population size   =      1,876
                                                Design df         =      1,875
                                                F(   1,   1875)   =      38.76
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0192

------------------------------------------------------------------------------
             |             Linearized
perf_legis~k |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   -.177116   .0284491    -6.23   0.000    -.2329112   -.1213209
       _cons |   .5302234   .0127963    41.44   0.000      .505127    .5553198
------------------------------------------------------------------------------

. svy: regress perf_judiciary_check wave6      if(wave==1 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,855
Number of PSUs     =     1,855                  Population size   =      1,855
                                                Design df         =      1,854
                                                F(   1,   1854)   =      69.76
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0485

------------------------------------------------------------------------------
             |             Linearized
perf_judic~k |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.2406815   .0288173    -8.35   0.000    -.2971991   -.1841638
       _cons |   .8138158   .0099869    81.49   0.000     .7942291    .8334025
------------------------------------------------------------------------------

. svy: regress perf_judicial_ind wave6         if(wave==1 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,879
Number of PSUs     =     1,879                  Population size   =      1,879
                                                Design df         =      1,878
                                                F(   1,   1878)   =      13.31
                                                Prob > F          =     0.0003
                                                R-squared         =     0.0075

------------------------------------------------------------------------------
             |             Linearized
perf_judic~d |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.1088115   .0298237    -3.65   0.000    -.1673026   -.0503204
       _cons |   .6537217   .0121077    53.99   0.000     .6299758    .6774676
------------------------------------------------------------------------------

. svy: regress perf_participation wave6        if(wave==2 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        927
Number of PSUs     =       927                  Population size   =        927
                                                Design df         =        926
                                                F(   1,    926)   =       0.34
                                                Prob > F          =     0.5600
                                                R-squared         =     0.0004

------------------------------------------------------------------------------
             |             Linearized
perf_parti~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0116729     .02002    -0.58   0.560    -.0509627    .0276169
       _cons |   .1036269   .0126729     8.18   0.000      .078756    .1284979
------------------------------------------------------------------------------

. svy: regress perf_funds_transparent wave6    if(wave==2 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        950
Number of PSUs     =       950                  Population size   =        950
                                                Design df         =        949
                                                F(   1,    949)   =       0.92
                                                Prob > F          =     0.3387
                                                R-squared         =     0.0010

------------------------------------------------------------------------------
             |             Linearized
perf_funds~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0298709   .0312037    -0.96   0.339    -.0911072    .0313654
       _cons |   .3442341   .0197216    17.45   0.000     .3055311    .3829371
------------------------------------------------------------------------------

. svy: regress perf_contributions wave6        if(wave==2 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        991
Number of PSUs     =       991                  Population size   =        991
                                                Design df         =        990
                                                F(   1,    990)   =       5.14
                                                Prob > F          =     0.0236
                                                R-squared         =     0.0048

------------------------------------------------------------------------------
             |             Linearized
perf_contr~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0516267   .0227676    -2.27   0.024    -.0963051   -.0069483
       _cons |   .1743421   .0153946    11.32   0.000     .1441323    .2045519
------------------------------------------------------------------------------

. svy: regress perf_opinions wave6             if(wave==2 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        921
Number of PSUs     =       921                  Population size   =        921
                                                Design df         =        920
                                                F(   1,    920)   =       0.05
                                                Prob > F          =     0.8247
                                                R-squared         =     0.0001

------------------------------------------------------------------------------
             |             Linearized
perf_opini~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0064515   .0291236     0.22   0.825     -.050705     .063608
       _cons |   .7543554   .0179772    41.96   0.000     .7190744    .7896364
------------------------------------------------------------------------------

. svy: regress perf_districts wave6            if(wave==2 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        940
Number of PSUs     =       940                  Population size   =        940
                                                Design df         =        939
                                                F(   1,    939)   =       0.02
                                                Prob > F          =     0.8854
                                                R-squared         =     0.0000

------------------------------------------------------------------------------
             |             Linearized
perf_distr~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0025032    .017367     0.14   0.885    -.0315793    .0365858
       _cons |   .0703259   .0105955     6.64   0.000     .0495324    .0911194
------------------------------------------------------------------------------

. svy: regress perf_common_und wave6           if(wave==2 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        928
Number of PSUs     =       928                  Population size   =        928
                                                Design df         =        927
                                                F(   1,    927)   =       1.49
                                                Prob > F          =     0.2221
                                                R-squared         =     0.0015

------------------------------------------------------------------------------
             |             Linearized
perf_commo~d |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0233399   .0191011    -1.22   0.222    -.0608263    .0141466
       _cons |   .1013746   .0125178     8.10   0.000     .0768081     .125941
------------------------------------------------------------------------------

. svy: regress perf_compromise wave6           if(wave==2 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        943
Number of PSUs     =       943                  Population size   =        943
                                                Design df         =        942
                                                F(   1,    942)   =       2.58
                                                Prob > F          =     0.1087
                                                R-squared         =     0.0026

------------------------------------------------------------------------------
             |             Linearized
perf_compr~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0315895   .0196741    -1.61   0.109    -.0701997    .0070207
       _cons |   .1149228   .0132157     8.70   0.000     .0889872    .1408584
------------------------------------------------------------------------------

. svy: regress perf_candidates_disclose wave6  if(wave==2 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        943
Number of PSUs     =       943                  Population size   =        943
                                                Design df         =        942
                                                F(   1,    942)   =       0.10
                                                Prob > F          =     0.7462
                                                R-squared         =     0.0001

------------------------------------------------------------------------------
             |             Linearized
perf_candi~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |  -.0101539   .0313635    -0.32   0.746    -.0717044    .0513966
       _cons |   .6804836   .0193886    35.10   0.000     .6424337    .7185334
------------------------------------------------------------------------------

. svy: regress perf_protest wave6              if(wave==2 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        896
Number of PSUs     =       896                  Population size   =        896
                                                Design df         =        895
                                                F(   1,    895)   =       1.02
                                                Prob > F          =     0.3125
                                                R-squared         =     0.0011

------------------------------------------------------------------------------
             |             Linearized
perf_protest |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0265975    .026319     1.01   0.312    -.0250566    .0782517
       _cons |   .8057554   .0167873    48.00   0.000     .7728083    .8387025
------------------------------------------------------------------------------

. svy: regress perf_investigations wave6       if(wave==2 | wave==6) 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        912
Number of PSUs     =       912                  Population size   =        912
                                                Design df         =        911
                                                F(   1,    911)   =       4.33
                                                Prob > F          =     0.0378
                                                R-squared         =     0.0048

------------------------------------------------------------------------------
             |             Linearized
perf_inves~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       wave6 |   .0699095   .0336095     2.08   0.038     .0039484    .1358706
       _cons |   .3653846   .0201452    18.14   0.000     .3258483    .4049209
------------------------------------------------------------------------------

. 
. 
. 
. * GENERATE DATA TO COMPUTE CORRELATION BETWEEN WAVE 3 IMPORTANCE FOR EXPERTS AND PUBLIC
. 
. use "Data/BLW_Public_Waves3456.dta", clear
( )

. 
. recode imp_misconduct-imp_investigations (0=0) (1=0) (2=1) (3=1) 
(imp_misconduct: 956 changes made)
(imp_private_gain: 917 changes made)
(imp_monitor_opponents: 925 changes made)
(imp_equal_rights: 952 changes made)
(imp_journalists: 896 changes made)
(imp_private_violence: 849 changes made)
(imp_free_speech: 934 changes made)
(imp_patriotism: 832 changes made)
(imp_foreign_influence: 919 changes made)
(imp_ban_ideology: 945 changes made)
(imp_voting_rights: 974 changes made)
(imp_votes_impact: 928 changes made)
(imp_election_fraud: 974 changes made)
(imp_expand_executive: 938 changes made)
(imp_legislature_check: 928 changes made)
(imp_judiciary_check: 930 changes made)
(imp_judicial_ind: 920 changes made)
(imp_participation: 910 changes made)
(imp_funds_transparent: 898 changes made)
(imp_contributions: 835 changes made)
(imp_opinions: 901 changes made)
(imp_districts: 891 changes made)
(imp_common_und: 921 changes made)
(imp_compromise: 841 changes made)
(imp_candidates_disclose: 932 changes made)
(imp_protest: 943 changes made)
(imp_investigations: 950 changes made)

. tabstat imp_misconduct-imp_investigations if (wave==3) [aw=weight], format(%8.2f) col(statistics) la(2
> 5) var(25)

                 variable |      mean
--------------------------+----------
           imp_misconduct |      0.84
         imp_private_gain |      0.81
    imp_monitor_opponents |      0.80
         imp_equal_rights |      0.85
          imp_journalists |      0.73
     imp_private_violence |      0.68
          imp_free_speech |      0.79
           imp_patriotism |      0.53
    imp_foreign_influence |      0.83
         imp_ban_ideology |      0.79
        imp_voting_rights |      0.89
         imp_votes_impact |      0.82
       imp_election_fraud |      0.90
     imp_expand_executive |      0.83
    imp_legislature_check |      0.79
      imp_judiciary_check |      0.77
         imp_judicial_ind |      0.82
        imp_participation |      0.74
    imp_funds_transparent |      0.72
        imp_contributions |      0.70
             imp_opinions |      0.83
            imp_districts |      0.73
           imp_common_und |      0.75
           imp_compromise |      0.59
  imp_candidates_disclose |      0.84
              imp_protest |      0.82
       imp_investigations |      0.84
-------------------------------------

. 
. use "Data/BLW_Expert_Waves123456.dta", clear
( )

. 
. recode imp_misconduct-imp_investigations (0=0) (1=0) (2=1) (3=1) 
(imp_misconduct: 2022 changes made)
(imp_private_gain: 1999 changes made)
(imp_monitor_opponents: 2032 changes made)
(imp_equal_rights: 2009 changes made)
(imp_journalists: 2013 changes made)
(imp_private_violence: 1994 changes made)
(imp_free_speech: 2024 changes made)
(imp_patriotism: 1861 changes made)
(imp_foreign_influence: 1979 changes made)
(imp_ban_ideology: 2024 changes made)
(imp_voting_rights: 2014 changes made)
(imp_votes_impact: 2005 changes made)
(imp_election_fraud: 2004 changes made)
(imp_expand_executive: 1980 changes made)
(imp_legislature_check: 1996 changes made)
(imp_judiciary_check: 1998 changes made)
(imp_judicial_ind: 502 changes made)
(imp_participation: 450 changes made)
(imp_funds_transparent: 473 changes made)
(imp_contributions: 434 changes made)
(imp_opinions: 468 changes made)
(imp_districts: 459 changes made)
(imp_common_und: 452 changes made)
(imp_compromise: 454 changes made)
(imp_candidates_disclose: 457 changes made)
(imp_protest: 471 changes made)
(imp_investigations: 457 changes made)

. tabstat imp_misconduct-imp_investigations if (wave==3), format(%8.2f) col(statistics) la(25) var(25)

                 variable |      mean
--------------------------+----------
           imp_misconduct |      0.91
         imp_private_gain |      0.77
    imp_monitor_opponents |      0.97
         imp_equal_rights |      0.98
          imp_journalists |      0.97
     imp_private_violence |      0.92
          imp_free_speech |      0.97
           imp_patriotism |      0.46
    imp_foreign_influence |      0.82
         imp_ban_ideology |      0.91
        imp_voting_rights |      0.96
         imp_votes_impact |      0.84
       imp_election_fraud |      0.99
     imp_expand_executive |      0.88
    imp_legislature_check |      0.89
      imp_judiciary_check |      0.88
         imp_judicial_ind |      0.92
        imp_participation |      0.56
    imp_funds_transparent |      0.75
        imp_contributions |      0.71
             imp_opinions |      0.93
            imp_districts |      0.78
           imp_common_und |      0.67
           imp_compromise |      0.50
  imp_candidates_disclose |      0.86
              imp_protest |      0.98
       imp_investigations |      0.94
-------------------------------------

. 
. log close
      name:  <unnamed>
       log:  C:\Users\mitch\Dropbox\BLW\POP\Searching for a Bright Line\Replication Materials\Logs/auxil
> iary tests.log
  log type:  text
 closed on:   5 Dec 2018, 10:54:12
--------------------------------------------------------------------------------------------------------
